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hlt  

Higher-Order Item Response Theory
View on CRAN: Click here


Download and install hlt package within the R console
Install from CRAN:
install.packages("hlt")

Install from Github:
library("remotes")
install_github("cran/hlt")

Install by package version:
library("remotes")
install_version("hlt", "1.3.1")



Attach the package and use:
library("hlt")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
First Published: 2022-08-22
Latest Update: 2022-08-22
Description:
Higher-order latent trait theory (item response theory). We implement the generalized partial credit model with a second-order latent trait structure. Latent regression can be done on the second-order latent trait. For a pre-print of the methods, see, "Latent Regression in Higher-Order Item Response Theory with the R Package hlt" .
How to cite:
Michael Kleinsasser (2022). hlt: Higher-Order Item Response Theory. R package version 1.3.1, https://cran.r-project.org/web/packages/hlt. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited hlt R package
View hlt citation profile
Other R packages that hlt depends, imports, suggests or enhances
Complete documentation for hlt
Functions, R codes and Examples using the hlt R package
Some associated functions: asti . get_hlt_start . hlt . hltsim . merge_chains . 
Some associated R codes: RcppExports.R . data.R . get_hlt_start.R . globalVariables.R . helper.R . hlt.R . merge_chains.R . plot.R . print.R . sim.R . start_val.R . summary.R . waic.R .  Full hlt package functions and examples
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